27 jobs found

Job Description Job Description Senior Autonomy Engineer About the Company This aerospace startup is reshaping how the world connects from above. The team is developing solar-powered, long-endurance UAVs that operate at the edge of the atmosphere, delivering next-generation, low-latency communication capabilities to areas traditional satellite and ground-based networks cannot serve well. The vision is to redefine global connectivity for everything from underserved regions and disaster response to dynamic, mission-critical coverage. Backed by top-tier investors and led by a tight team of operators and engineers from the most respected names in aerospace, defense, and telecom, this is a rare ground-floor opportunity. They are lean, builder-led, and moving fast toward a near-term flight demonstration. This team has the technical depth, the network, and the timing to leap past incumbents and define the category. We prefer this person to be located in the Bay Area and onsite at headquarters, but for the right candidate we may consider a hybrid arrangement. About the Role This team is looking for a Senior Autonomy Engineer to own the design, architecture, and development of the entire autonomy software stack across the vehicle, payload, and ground infrastructure. As a true founding-team engineer, this person will be a world-class individual contributor and architect, with full latitude to shape how the aircraft flies, recovers, and eventually coordinates as a fleet. This is not a maintenance seat. It is the chance to define the autonomy platform from the ground up and watch your code fly. What You'll Own End-to-end autonomy architecture across vehicle, payload, and ground infrastructure for a long-endurance, high-altitude aircraft Mission management and behavioral executive: design the high-level state machines, behavior trees, and contingency logic that govern mission phases, abort behaviors, fault response, and payload coordination. Path and trajectory planning: build the algorithms for auto-takeoff, landing, dynamic waypoint navigation, geofencing, and end-to-end autonomous routing. Scale toward cooperative and non-cooperative avoidance and energy-aware planning that accounts for battery state of charge, expected solar harvest, and predicted spatial wind fields. Health, status, and fault detection: design robust fault detection and isolation that distinguishes healthy from faulty sensors and actuators, monitors system health, and triggers safe contingency behaviors on board in real time. Fleet management and simulation: build the centralized software that coordinates multiple vehicles across multiple sites, and stand up the cloud infrastructure for large-scale distributed simulation and log analysis. Infrastructure and testing: design and optimize CI/CD pipelines for autonomy software, drive SIL and HIL validation, and own flight readiness for early prototypes. What We're Looking For Deep, hands-on experience with path planning algorithms, finite state machines, and behavior trees. You have shipped autonomy that has flown or driven in the real world, not just in simulation. Strong production-level software engineering skill in a typed language. Heavy preference for Rust. C++ also strongly considered for the right profile. Broad systems architecture instincts. You are comfortable architecting complex, scalable software that bridges embedded vehicle software, ground systems, and cloud-based fleet managers. Embedded software experience on complex hardware platforms. Flying vehicles preferred, but robotics, autonomous ground systems, and other high-stakes hardware count. Ability to move fast and build in ambiguity. You reach for first principles rather than industry standards when the standards do not yet exist for the problem. Strong physics or GNC-adjacent intuition is a plus. The ability to look at flight logs and reason not only about whether mission management responded correctly, but why the aircraft is behaving the way it is, makes you stand out. A strong problem-solving mindset with a bias for action and excellent collaboration instincts. Excitement to be part of an ambitious, technically rigorous founding team, and a desire to do the best work of your career here. Benefits Why You'll Love Working Here Join a powerhouse team of brilliant builders Collaborate with a tight-knit crew of deeply technical operators and engineers from the most respected programs in aerospace, defense, and telecom. You will work alongside founders and leaders with a track record of shipping at the highest bar. Competitive startup salary Be paid well to do the most energizing work of your career. Ground-floor equity Own meaningful upside from day one. Shape the trajectory of the company and participate fully in the value you help create. Excellent health insurance Strong medical coverage so you can stay healthy while pushing the boundaries of what is possible. Dog-friendly office with Bay views Bring your pup and enjoy a beautiful workspace with panoramic water views that spark creativity and focus. Work on a uniquely hard problem Architect autonomy for an aircraft that lives at the edge of the atmosphere, where the wind is often faster than the vehicle and every kilogram, watt, and line of code matters. This is the kind of problem that nerd-snipes the best autonomy engineers in the world. About AdAstra AdAstra Talent Advisors is a headhunting and talent advising firm focused on the Climate, Space, and Defense sectors of Hard Tech. We specialize in pairing highly technical and executive talent with some of the world's leading Hard Tech startups. At AdAstra, we catalyze the innovations that future generations depend on by placing the right people in the right seats. Our dedicated work enables inconceivable technology from Earth, to the stars. And it's all because of trailblazing talent like you - those driven to do what's never been done before. We care about long term relationships with both candidates and companies. Even if the role we initially discuss isn't a perfect fit, it's likely we'll have something relevant to share with you in the future. Join us on our journey by following along via LinkedIn! CEO, Seyka Mejeur LinkedIn profile CTO / COO, Brian Mejeur LinkedIn profile AdAstra Talent Advisors LinkedIn profile AdAstra Website

Job Description Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! We are looking for a Senior Engineer, Performance Architecture. This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware-software co-design. Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do Model the architecture, performance, and power characteristics of Memory Centric Computing platforms Develop and optimize models to explore a large design space. Analyze various trade-offs within a design space, considering different architectural choices and workloads. Collaborate with architecture, design and software engineers to ensure that the PPA of modeled systems meet the requirements of our users Conduct research and development in emerging technologies and trends in AI/ML workloads and Memory Centric Computing architectures Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget What You Bring BS in Computer/Electrical Engineering or Computer Science with 5+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred. Strong background in computer architecture Experiences in developing and optimizing models for high-performance computing systems Strong analytical and problem-solving skills Excellent communication and interpersonal skills Ability to work independently and as part of a team You're inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change. What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way-including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $138,000-$206,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy - us/careers/us/privacy/

Job Description Job Description About This Role Twenty80 is partnering with a fast-moving technology company to find an AI Engineer to build and ship LLM-powered applications. Our client is looking for someone to own new AI workflows from prototype to production. Expect to ship fast, talk directly to customers, and build systems that solve real problems for users. This is a full-time onsite position. You will work five days a week from our client's office in San Francisco, collaborating in person with PMs, designers, and the GTM team to ship fast and stay close to the work. This is a deeply technical role that blends ML, product thinking, and engineering. You will build and own production services that rely on LLMs and speech models. What you'll do Develop and own end-to-end AI applications across a range of workflows, from copilots to automation tooling and beyond. Improve our client's LLM-powered platform, used daily by thousands of users. Build and optimize inference pipelines and real-time speech recognition systems. Collaborate closely with PMs, designers, and GTM teams to iterate rapidly and launch high-impact features. Suggested Experience Our client is looking for exceptional, top-tier talent. 3+ years building production AI systems, ideally in fast-moving environments or as a founder. Extensive experience with LLM inference (OpenAI, Anthropic, Llama, etc.). Strong product sense. Comfortable working across the stack (frontend, backend, etc.) to get features shipped. Obsessed with speed, ownership, and getting real user feedback. This is a remote position, although Bay Area residents are encouraged to work from the client's SF office. Nice to Haves Experience with ASR systems (e.g. Whisper). Seniority 2 to 6 years of experience as a software engineer, with AI and LLM-focused product work. Work experience Must have built complex AI applications end-to-end (LLM inference work, agent products, etc.). Experience in a fast-moving startup or as a founder. Education CS undergraduate degree from a four-year university. Hard skills Able to work across the stack (frontend, backend, infra) to problem solve and ship features. Applied-AI literacy. Can reason about evals, statistics, and the non-determinism of LLM systems. Familiarity with SOC-2 or sensitive data pipelines. Soft skills Obsessed with speed, ownership, and getting real user feedback. Traits to avoid Lack of progression in role after 2 to 3 years. About Twenty80 Twenty80 is an executive and specialty search firm representing this client on the search. All candidate conversations run through us.

Job Description Job Description No subs- No sponsorship Remote AI Engineer (Mid-Senior) United Global Technologies (UGT) Remote (U.S.), Full-time UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed - and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio. WHAT YOU'LL DO - Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate. - Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths. - Architect scalable data pipelines - aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems. - Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages. - Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM. - Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform. - Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI). - Mentor a junior AI engineer and help establish engineering conventions and onboarding standards. WHAT WE'RE LOOKING FOR (REQUIRED) - 5+ years of professional software / AI engineering experience, with a strong Python foundation. - Hands-on experience building LLM / RAG applications - retrieval, chunking strategies, prompt orchestration, and evaluation. - Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini. - Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent). - Practical understanding of security and data governance, including handling of sensitive or controlled data. - U.S. citizenship or permanent residency (supports a federal / DOE environment). - Ability to provide consistent support during Pacific Time core business hours. NICE TO HAVE (PREFERRED) - Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment. - Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance. - Experience using Microsoft Copilot for enterprise RAG use cases. - Experience integrating application and AI logging into a SIEM. - Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge. EMPLOYMENT & ELIGIBILITY - Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role). - Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required. - Must reliably support Pacific Time core business hours. - U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work). - Government-furnished equipment provided for the engagement. ABOUT UGT United Global Technologies, Inc. (UGT) is a Charlotte, NC-based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.

Job Description Job Description About NIO NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. Founded in November 2014, NIO aspires to shape a sustainable and brighter future with the mission of "Blue Sky Coming". NIO envisions itself as a user enterprise where innovative technology meets experience excellence. NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological breakthroughs and innovations, exceptional products and services, and a community for shared growth. NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles for families through the ONVO brand, and small smart high-end electric cars with the FIREFLY brand. About the Position We are seeking a senior OS / kernel engineer to join our SkyOS team. The team is responsible for the design and development of NIO's full-domain vehicle operating systems. The position will explore new ideas and designs that can make systems software faster, more dependable, and intelligent, from proof of concept to final production quality. You will have the opportunity to work on almost every layer of systems software, including kernel, networking, file system, drivers, hypervisor, libc, build system, etc, to optimize the system from high-level architecture down to the choice of assembly instructions, to bring high-impact innovations onto production systems by collaborating with engineering teams. If you enjoy building systems from scratch, writing high quality system code, optimizing performance, and shaping the future of systems software for intelligent EVs, the stage is ready for you. Responsibilities Prototype and evaluate advanced systems software concepts, including kernels, file systems, drivers, and networking, to improve system performance, safety, and dependability. Design, implement, and optimize critical low-level system components to fulfill strict real-time performance and safety goals. Contribute to the long-term systems software architecture and help guide technical decisions within the smart EV infrastructure. Collaborate closely with broader engineering teams to transition prototypes and advanced concepts into highly reliable, production-ready deployments. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or related fields. Strong background and hands-on experience in operating system internals, virtualization, or system security. Solid understanding of computer hardware architecture, with practical experience in at least one of the following: x86, Arm, or RISC-V. Proficiency in C, assembly, and/or Rust. Proven ability to navigate, debug, and improve complex, low-level codebases. Strong troubleshooting skills to diagnose and resolve complex system-level performance, memory, and stability issues. Ability to work independently on ambiguous technical problems while remaining a strong, communicative team collaborator. Preferred Qualifications Master's or Ph.D. in Computer Science, Engineering, or a related field. Familiarity with the latest academic research in systems (e.g., papers from SOSP, OSDI, ASPLOS) and a track record of applying these concepts to solve industry problems. Experience modifying, extending, or building core system software components (such as custom kernel modules, hypervisors, real-time operating systems (RTOS), or network stacks). Exposure to microkernel architectures or automotive/safety-critical operating systems. Familiarity with formal verification methods or automotive safety standards (e.g., ISO 26262). Benefits Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO: Anthem Blue Cross, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage. Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents. Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible Anthem Blue Cross medical plan Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with Brokerage Link option Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time 13 Paid Holidays a year Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO) Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO) Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance Commuter benefits Mobile Cell Phone Credit Free lunch and snacks Onsite gym Employee discounts and perks program Compensation The US base salary range for this full-time position is $143,200.00 - $186,000.00. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Grey Matters Defense Solutions specializes in software development and solutions, specialized data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and various applications. Grey Matters Defense Solutions is seeking a talented and dedicated, Mission Engineer About the job: Grey Matters Defense Solutions is looking for experienced multi-INT analysts/developers to join our Sensor to Shooter Mission Engineering team to help solve mission-focused operational problems. Stationed at customer locations, the Mission Engineering team provides support for local operational needs while also helping integrate with Intel Community and DoD tools, services, and data. Key Responsibilities: The Mission Engineering team is responsible for creating and integrating capabilities into Sensor to Shooter workflows, capturing customer needs, and providing onsite expertise through development of scripts, models, automations, and other creative techniques to overcome mission-limiting capability gaps. Ideal additions to this team will be broadly experienced across data types and intelligence disciplines and are highly motivated problem-solvers. New Mission Engineers must have exceptional communication skills and function effectively within a team as well as independently. Dedication to the mission and an ability to generate creative solutions to hard mission problems is a must. Willingness to travel in support of exercises, surge support, etc. as needed to support Customer requirements. About you: An active Top Secret security clearance 8+ years of IC/DoD analyst experience 5+ years of mission capability experience 5+ years of experience with common DoD analysis and visualization applications Demonstrated ability to communicate with peers, leadership, and customers Excellent analytical skills and problem-solving skills High level of self-initiative and self-motivation with the ability to work under minimal supervision Ability to work effectively in small team settings to solve complex problems Demonstrated ability to bring new or innovative solutions to problems Preferred Skills: Coding experience in a modern software language such as Python, R, or JAVA Broad community knowledge of sensors and disciplines and the ability to leverage and communicate this intelligence, surveillance, and reconnaissance experience to teammates and customers Experience in processing and visualizing data and an understanding of the processes and procedures necessary to request, coordinate, and task collection Knowledge of customer tasking, collection, and processing tools to perform limited analytics and development Understanding of Agile development practices and procedures with the ability to act as a product owner for established needs Salary Range: $100,000 - $160,000 Grey Matters Defense Solutions offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term and long-term disability. Additional Benefits: SEP IRA 25% of base salary PTO Six weeks IBA 12.5% Employee assistance program Employee discount Flexible spending account Health savings account Referral program Grey Matters Defense Solutions' most valuable assets are the more than 60+ employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA and the US Armed Forces. Our employees have a depth of analytical knowledge which provides them with deep understanding of managing and delivering products within government systems. Grey Matters Defense Solutions provides transformational leadership building aware-winning teams and products. Join our team of exceptional developers, architects and data scientists! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Powered by JazzHR 7VTpjIgd2h

Resource Operations Analyst location: PORTLAND, OR, US, 97232 Company: PacifiCorp Power Your Greatness PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability, inclusion and belonging. General Purpose Provide operational, analytical, technical, and leadership support for PacifiCorp's generation portfolio through resource planning, generation scheduling, outage coordination, and market participation activities. Depending on the level, responsibilities range from independently performing and coordinating activities that support the reliable and efficient operation of thermal, hydro, renewable, and energy storage resources to leading resource planning initiatives, providing technical guidance, strengthening organizational capability, and driving continuous improvement through collaboration, knowledge sharing, and operational excellence. Responsibilities Independently perform generation scheduling, outage coordination, and operating plan development for thermal, hydro, renewable, and energy storage resources. Coordinate with internal and external stakeholders, including Generation, Trading, Transmission, PMO, and other operational groups, to support resource planning and operational activities. Coordinate PacifiCorp's participation in EDAM and other organized markets through operational coordination and maintenance of CAISO Master File (GRDT) and resource registration data. Analyze operational data and develop reports, metrics, recommendations, and operational insights to support operational decision-making and business objectives. Develop and maintain operational procedures, documentation, job aids, and process standards that promote consistent and reliable operations. Maintain proficiency in resource planning processes, systems, and operational practices while supporting cross-training, knowledge sharing, and consistent operational execution. Identify and implement process improvements that enhance operational efficiency, standardization, and reliability. Exercise sound judgment and make independent operational decisions within established procedures and authority. Provide rotating on-call, after-hours, weekend, holiday, or emergency operational support as required. In addition, the responsibilities at the Senior Resource Operations Analyst level include: Lead generation scheduling, outage coordination, and operating plan development for thermal, hydro, renewable, and energy storage resources. Provide technical and operational guidance to internal and external stakeholders, including Generation, Trading, Transmission, PMO, and other operational groups, to support resource planning and operational activities. Lead operational readiness for PacifiCorp's participation in EDAM and other organized markets through oversight of CAISO Master File (GRDT) and resource registration activities. Analyze operational data and develop reports, metrics, operational insights, and strategic recommendations that support generation portfolio management, operational decision-making, and risk management. Lead the development, maintenance, and continuous improvement of operational procedures, documentation, job aids, and process standards to strengthen operational consistency, knowledge retention, organizational resilience, and long-term operational capability Provide technical leadership across PacifiCorp's generation portfolio by mentoring team members, promoting knowledge sharing, supporting cross-training, and strengthening organizational capability within resource planning functions. Lead process improvement initiatives that enhance generation portfolio management, operational efficiency, standardization, and organizational capability. Provide technical guidance and exercise sound judgment in complex operational situations to support safe, reliable, and efficient generation portfolio management. Provide leadership and technical support during rotating on-call, after-hours, weekend, holiday, or emergency operational situations as required. Requirements Bachelor's degree in Engineering, Physical Science, Mathematics, Business, or related discipline; or an equivalent combination of education and relevant experience. Three years of progressively responsible experience in resource planning, utility operations, energy markets, engineering, data analysis, business operations, or a related field with demonstrated ability to independently perform operational responsibilities. Demonstrated analytical, organizational, communication, and problem-solving skills with the ability to independently manage priorities, adapt to changing operational conditions, and perform assigned responsibilities. Working knowledge of utility operations, resource planning, organized markets, or related operational processes. Demonstrated ability to learn new technologies, systems, and operational processes and adapt to changing business and operational requirements. In addition, the requirements at the Senior Resource Operations Analyst level include: Five or more years of progressively responsible experience in resource planning, utility operations, energy markets, engineering, data analysis, business operations, or a related field with demonstrated ability to provide technical leadership, lead operational initiatives, and develop others. Demonstrated leadership, analytical, communication, mentoring, decision-making, and organizational skills with the ability to lead complex operational initiatives and strengthen organizational capability. Demonstrated knowledge of utility operations, generation portfolio management, organized markets, and applicable regulatory requirements. Preferences Experience in electric utility operations, resource planning, generation scheduling, energy markets, or related industries. Experience with data analysis, reporting, or operational software such as Microsoft Excel, Power BI, SQL, Python, or similar analytical tools. Knowledge of organized electricity markets, resource registration, or market participation processes (e.g., EDAM, CAISO, EIM). Experience supporting process improvement, operational standardization, documentation, project coordination, or cross-functional initiatives. Experience developing operational documentation, training materials, or standardized procedures that support knowledge sharing and consistent operations. This position is posted at two levels and will be filled at the level that commensurate with the successful candidate's applicable skills and experience. Benefits At PacifiCorp, we understand that living a healthy lifestyle isn't just about your physical health - your mental, financial, and social wellbeing also play an important role. That's why we offer a wide range of benefits designed to help you live a more balanced lifestyle Our Benefits include: Medical, dental, and vision insurance 401k with match fixed contributions, including a Roth and saving option. For union employees, matching contributions vary by union. For nonunion, PacifiCorp makes a fixed contribution equal to 4% of your eligible pay each year for new hires. In addition, PacifiCorp matches 100% of the first 6% you contribute. Life insurance Additional voluntary benefits, including pet insurance Tuition Assistance Mass Transit Pass for employees in our Portland and Salt Lake City Offices. Work Life Balance: Generous Paid Time Off (PTO) - Time off varies by employee type (Union or Non-Union) Paid short-term disability leave and long-term disability insurance Paid Parental Leave Paid Bereavement Leave Employee Assistance Program supporting mental and emotional wellbeing For more information, please visit: Additional Information Req Id: 114862 Company Code: PacifiCorp Primary Location: PORTLAND, OR Department: Power Supply Schedule: Full Time, 100% onsite Hiring Range: $77,200 - $122,100 Employees must be able to perform the essential functions of the position with or without accommodation. PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. While marijuana is legal in several states, including Oregon, a positive test for positions in Oregon may disqualify a candidate. The company complies with the laws of Washington and California and only obtains and considers positive tests for marijuana in safety-sensitive positions or those covered by U.S. Department of Transportation regulations. Nearest Major Market: Portland Oregon . click apply for full job details

Job Description Job Description This position has a Hybrid schedule, remote access will be activated after successfully completing 90 days in the role onsite. Position Summary The position of the Senior Network Engineer will be responsible for production, development, and test environments of SDCCU's network which includes but not limited to routers, firewalls, and switches. The responsibilities on these systems include engineering, deployment, provisioning, and maintenance of the network infrastructure, as well as research and development to ensure continual innovation within datacenter network, Local Area Network (LAN), Wide Area Network (WAN), and remote branch environments. Maintain quality service standards set by the organization. Minimum Qualifications (Education, Experience, Skills): 6 years' experience supporting applications and systems in a production environment, preferably for a SaaS software or financial organization. Possess deep expertise in network protocols, network security, routing and switching. Advanced and in-depth experience along with the fundamental understanding of at least one type of Network Operating System (ie. NX-OS, JunOS, Arista EOS) Advanced and in-depth experience along with the fundamental understanding of at least one type of Network Security Operating System (ie. IPSO, PAN-OS, FortiOS) Ability to work independently to accomplish assigned tasks. Proven organizational and multi-tasking skills. Effective verbal and written communication skills. Project management skills, process-oriented with attention to detail. Comfortable performing in a process-oriented and change-controlled working atmosphere. Team player; should be able to communicate, lead and coach other team members, and to present to non-technical audience including customers. Solution-oriented, constructive approach to problem-solving. Bachelor's degree in a technical discipline or at least 6 years of experience plus an engineer level certification, such as a CCNP, JNCIS, VCP-NV, or equivalent network-related certification. Desired Qualifications (Education, Experience, Skills): Familiarity with Cisco Systems and its various network solutions Familiarity with Check Point firewalls and its centralized management applications Working knowledge of VMWare, Microsoft Windows or Linux system administration is a plus Experience with various automation or scripting tools (Ansible, Python, Bash) Essential Duties and Responsibilities Network Engineering Network design, architecture, management, and deployment of new and existing routing, switching, and firewall infrastructure for multiple datacenter environments. Deployment and management of new and existing WAN and VPN connections with associated collaboration with the business' customers. Proper execution of network and firewall change requests which support communications within the SDCCU environment for its customers and business units being conducted in accordance with corporate security policies. Responsible for network performance and security monitoring in addition to being able to troubleshoot network-related issues in a logical manner Willingness to learn and work with potentially unfamiliar network operating systems and the ability to leverage automation tasks against repeatable network tasks Research, recommend, and develop innovative, and where possible, automated approaches for daily administrative tasks. Identify similar approaches that can also leverage SDCCU resources and provide economies of scale. Responsible for vulnerability remediation and resolution efforts across various network systems. Manage and facilitate the progress of assigned technical IT-related projects and taskings. Participate in and contribute to Agile methodologies and sound engineering principles. Network capacity planning and recommendations for growth. Operations and Support Perform daily system monitoring, verifying the integrity and availability of all network-related hardware, software, systems and key processes, and verifying completion of scheduled jobs such as network changes and its backups. Provide Tier III and advanced-level network support requested from the engineering and operational departments; investigate and troubleshoot system hardware, software, and application issues from a network-focused perspective Configure and support related network services; ex. FTP, SFTP, HTTPS, VPN/ZTNA and remote access. Analyze, troubleshoot and resolve potential networking issues supporting system hardware, software, and application services. Demonstrate the ability to train operational departments with documented processes and procedures. Coordinate with vendors with support requests, procurement, and consulting services related to them as necessary. Maintenance Lead or assist with applying necessary network-related updates and upgrades on a regular basis. Perform maintenance to network and firewall devices during approved maintenance windows. Maintain and administer systems and software licensing as needed. Maintain and draft operational, configuration, and other procedural documentation. Participate in AML/BSA compliance training as assigned. Adhere to credit union AML/BSA policy and procedures including CTR rules and form preparation, identify and refer suspicious activity to the Compliance Department, perform OFAC comparisons, and properly identify individuals in accordance with Branch Operations procedures. Other Duties & Responsibilities Perform special projects as assigned. Routinely provide after hours on-call support within SLA's. Occasional travel. Physical Demands and Work Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls and talk or hear. The employee is frequently required to stand and reach with hands and arms. The employee is occasionally required to walk; sit; climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. The noise level in the work environment is usually moderate. Monday-Friday: 8:00am/5:00pm Full Time - 40 hours a week

Job Description Job Description Our client is an established, privately held, growing, New York-area government contractor. Our client's focus is in providing Information Technology (IT) Services to city, state and federal government clients. We are currently seeking an experienced IT Network Engineer to work in a full-time onsite role on a large scale project at a client location in Manhattan, New York City / Newark, New Jersey. Reporting to the IT Project Manager, the IT Network Engineer is responsible for maintaining, configuring, troubleshooting and supporting various IT computer networks and systems. The ideal candidate will have relevant technical education, certifications and 5+ years of relevant IT Network Engineering and cybersecurity experience. Experience with software platforms used in Building, Construction or related areas is highly desirable. Must be customer-focused with effective influencing and communication skills, and a strong understanding of system user needs. PRIMARY RESPONSIBILITIES INCLUDE: Maintain, configure, troubleshoot and support various IT computer networks and systems. Install, update and configure network software, manage user accounts and monitor network and system performance. Resolve technical network and system issues. Provide ongoing support, upgrades and enhancements for the assigned systems platforms. Work closely with Project Management, IT, Engineering and other stakeholders. Ensure that network and systems software is configured properly and that all business requirements are successfully met. Implement and support new client requirements and customizations. Consistently engage with clients and stakeholders to maintain relationships and ensure high levels of satisfaction. CANDIDATE REQUIREMENTS INCLUDE: Bachelor's Degree in Computer Science, Information Technology, or closely related field. Relevant IT network and systems administration certifications such as CCNA, Comp TIA Network+, CCNP, CCIE, Microsoft Azure or AWS network certifications. 5+ years of relevant IT Network Systems Administration experience managing and supporting large IT networks and systems software platforms. Knowledge of Microsoft Intune device and application management platform desirable Knowledge of operating systems, networking protocols (TCP/IP, DNS), cloud platforms (Azure, AWS), and scripting languages. Network and systems cybersecurity experience required. Understanding of various software platforms used in Construction, Building or related functions or industries. Ability to work in a fast-paced environment and manage multiple tasks simultaneously. Experienced in incident management including ownership, assessment and initial support, escalation / notification, business impact analysis, resolution tracking and senior escalations. Demonstrated understanding of Project Management principles and practices. Effective problem-solving and relationship-management skills. Prior experience collaborating closely with users, clients, stakeholders and technology suppliers to resolve technical issues. Excellent verbal, written and interpersonal communication skills with users, clients, team members, technical staff, and management. Able to interface, communicate and maintain effective relationships with team members and all levels of management on an ongoing basis and work as a trusted IT professional. Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) for use in communication, analysis & tracking. Key Competencies: Collaborative Work Style, Customer Service Focused, Problem-Solver, Professional, Resourceful, Results-Focused, Solutions Focused, Self-Motivated, Team-Player. Must be able to pass a required background check and/or security clearance to work on government projects. Legal authorization to work in the U.S. is required. The company will not sponsor individuals for employment visas for this job at this time. POSITION LOCATION: Office-based role in New York, NY / New Jersey. Must be able to commute daily to New York City. TEAM RESPONSIBILITY: Serve as a key member of the client's IT team. Collaborate with internal team members, users, clients and vendor partners. Mentor team members. K EY RELATIONSHIPS / STAKEHOLDERS : IT Project Manager Internal Team Members, Users, Clients and SME's Client and Technology Partners RELOCATION ELIGIBILITY: No relocation assistance provided. Local, qualified New York City metro area candidates will be given preference and priority. Qualified candidates willing to self-relocate to the New York City metro area will also be considered. COMPENSATION & BENEFITS INFORMATION: Base Salary Range: $90,000 - $110,000, commensurate with experience and qualifications Benefits Include: Health & Dental Insurance, Paid Time Off, 401-K with match, FSA, Company Paid Training, etc. POSSIBLE COMPARABLE TITLES: Systems Administrator / Specialist Network Administrator / Specialist Technology Administrator / Specialist IT Specialist Company Description Talent Solution Partners is a full-service Talent Acquisition and Solutions Firm. Our primary focus is the placement of senior-level professionals and executives for clients in Healthcare, Consumer Products, Business-to-Business Services and related industries. Visit us at: Company Description Talent Solution Partners is a full-service Talent Acquisition and Solutions Firm. Our primary focus is the placement of senior-level professionals and executives for clients in Healthcare, Consumer Products, Business-to-Business Services and related industries. Visit us at:

Job Description Job Description About Network Doctor Network Doctor is a premium IT Managed Services Provider delivering technology support and strategic guidance to clients across industries such as finance, healthcare, real estate, and professional services. We pride ourselves on a culture built on teamwork, curiosity, professionalism, and personal growth - all with the mission of making IT an enabler that helps businesses work smarter, faster, and happier. At Network Doctor, you're not just a technician - you're part of a team grounded in partnership, integrity, and continuous improvement. You'll have a voice in a culture that values your curiosity and success, the satisfaction of representing a respected MSP onsite with high-profile clients, the support of a strong engineering network, and abundant opportunities for training and professional growth. About the Role We are seeking a smart, resourceful, and service-oriented L2 Support Engineer to provide advanced remote technical support for clients across the NYC Metro Area. This role is a key escalation point within our Help Desk, responsible for resolving complex issues, guiding L1 engineers, and ensuring an exceptional customer experience with every interaction. You'll spend most of your time working from our Englewood Cliffs, NJ office delivering hands-on troubleshooting, system administration, and higher-level support across a wide range of technologies. While the role is primarily focused on escalations and remote service delivery, there may be occasional opportunities to assist with onsite visits when required, reflecting the collaborative nature of working within a Managed Services Provider environment. As a member of Network Doctor's Help Desk team, you'll be supported by a full group of engineers, system specialists, and senior escalation resources, ensuring you're never on your own when tackling unfamiliar or challenging issues. This position requires professionalism, adaptability, and the ability to navigate complex technical environments with confidence and curiosity. You don't need to know everything, but you do need to know how to investigate effectively, ask the right questions, and collaborate with your team to drive successful outcomes. Key Responsibilities: Proficient at managing and maintaining: Enterprise networks and systems, including hardware Window Servers, Active Directory, GPOs, Hybrid Connectors, Conditional Access Polices Secure and redundant infrastructures, i.e. AV, firewalls, GPO, high-availability solutions Microsoft IaaS PaaS and SaaS offerings (Azure, 365, Entra/Intune, MDM/MAM) Email security/filtering solutions Mac Some other technical facets, details or requirements of the position may include, but not limited to: Work in conjunction with Project Engineers to meet deadlines and client expectations. Configure & manage Microsoft Server & Exchange Servers with PowerShell expertise. Install, configure, and troubleshoot all network equipment, routers, firewall, switches, wireless access points, and SSL-VPN setups from various vendors, such as Cisco, Extreme, HP, Meraki, Netgear, SonicWALL, UniFi. Manage Disaster Recovery and standard backup file restoration requests and support using Veeam, Azure Backup, SkyKick, Carbonite and others. Diagnose and resolve unique, nonrecurring problems associated with application software and operating systems; determine the source of problems and classify their level, priority and nature. Work with hardware and software vendors to verify timely product delivery and ensure that new equipment is installed and ready to operate on schedule. Document procedures, standards, best practices configurations, settings, installation sequences and back-out instructions. Requirements: Strong verbal and written communication skills Substantial experience with Windows Servers Strong understanding of fundamental networking concepts (switching/routing, DNS/DHCP, RADIUS authentication, WAP management, Email security protocols) Strong experience managing and troubleshooting Microsoft Windows OS technology including AD Forests, Domains, Trusts, DNS, DHCP, Group Policy and Organizational Units Excellent interpersonal, customer service and problem-solving skills Strong time management and organizational skills with the ability to manage multiple tasks and changing priorities Ability to work collaboratively within a team A Plus to Have: 4 + years technical experience relevant to the above A solid and well thought out diagnostic mindset Physical ability to lift and move heavy equipment (servers, computers, etc.) Experience working with/at MSP's Experience with RMM tools Familiarity with the ConnectWise Suite of products Proficiency in administering, configuring, maintaining and upgrading various VMware technologies Proficiency in administering, configuring, maintaining, and upgrading Citrix XenApp & XenDesktop environments Administering and configuring NAS and SAN technologies from various vendors A driver's license and vehicle of your own and the ability to travel to client locations if needed

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Job Description Job Description Description: CNC Programmer (1st shift, Full-Time, Onsite only) $32.00 - $36.50/hour Schedule: Monday-Friday, 7:00am-4:00pm POSITION SUMMARY: Under the direction of the Manufacturing Engineer / CNC Programming Team Lead, the experienced CNC Programmer is to assist with the development and provide programming as assigned for computerized machine processes in manufacturing. ESSENTIAL DUTIES AND RESPONSIBILITIES: 1. Write machining programs for new parts as assigned by the Senior Programmer. 2. Maintain facilities on routings for most current machines. 3. Determines machining process from established drawings/prints. 4. Write machining programs for parts with CAM software. 5. Decide which cutting tools and speeds and feeds are appropriate, considering the design specifications, materials. 6. Run simulation tests. 7. Create set-up sheets for programmed parts. 8. Evaluate programs and determine if improvements can be made to the code to increase efficiency, quality and safety. 9. Review ECN's for possible program changes. Requirements: EDUCATION AND EXPERIENCE: Programming education from a vocational/technical school or 2 years of equivalent experience What You'll Love About Working Here We offer a full, comprehensive benefits package designed to support you and your family, including: Paid Time Off (PTO) 10 paid holidays Medical, dental, and vision insurance HSA and FSA options Company-paid life and AD&D insurance Company-paid Short-term disability (STD) Company-paid Long-term disability (LTD) Employee Assistance Program (EAP) 401k Benefit eligibility begins on the first day of the month following your hire date PI6c37026a9cbf-1864

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Job Description Job Description Description: CNC Programmer (1st shift, Full-Time, Onsite only) $32.00 - $36.50/hour Schedule: Monday-Friday, 7:00am-4:00pm POSITION SUMMARY: Under the direction of the Manufacturing Engineer / CNC Programming Team Lead, the experienced CNC Programmer is to assist with the development and provide programming as assigned for computerized machine processes in manufacturing. ESSENTIAL DUTIES AND RESPONSIBILITIES: 1. Write machining programs for new parts as assigned by the Senior Programmer. 2. Maintain facilities on routings for most current machines. 3. Determines machining process from established drawings/prints. 4. Write machining programs for parts with CAM software. 5. Decide which cutting tools and speeds and feeds are appropriate, considering the design specifications, materials. 6. Run simulation tests. 7. Create set-up sheets for programmed parts. 8. Evaluate programs and determine if improvements can be made to the code to increase efficiency, quality and safety. 9. Review ECN's for possible program changes. Requirements: EDUCATION AND EXPERIENCE: Programming education from a vocational/technical school or 2 years of equivalent experience What You'll Love About Working Here We offer a full, comprehensive benefits package designed to support you and your family, including: Paid Time Off (PTO) 10 paid holidays Medical, dental, and vision insurance HSA and FSA options Company-paid life and AD&D insurance Company-paid Short-term disability (STD) Company-paid Long-term disability (LTD) Employee Assistance Program (EAP) 401k Benefit eligibility begins on the first day of the month following your hire date PI6c37026a9cbf-1864